| base station | BS | 1080 | 31 | 2.006408 | 2002.00168,2002.00294,etc |
| additive white gaussian noise | AWGN | 56 | 27 | 1.000265 | 2002.00168,2002.01629,etc |
| channel state information | CSI | 400 | 26 | 1.004458 | 2002.00168,2002.00532,etc |
| partial differential equation | PDE | 194 | 23 | 2.000797 | 2002.00031,2002.00074,etc |
| signal to interference plus noise ratio | SINR | 272 | 19 | 2.002976 | 2002.00168,2002.00331,etc |
| signal to noise ratio | SNR | 184 | 19 | 2.002193 | 2002.00532,2002.01504,etc |
| multiple input multiple output | MIMO | 352 | 16 | 2.003403 | 2002.00990,2002.01629,etc |
| internet of things | IoT | 224 | 16 | 1.002752 | 2002.01255,2002.02003,etc |
| line of sight | LoS | 55 | 14 | 1.001017 | 2002.00168,2002.01226,etc |
| singular value decomposition | SVD | 171 | 14 | 1.002305 | 2002.01387,2002.01429,etc |
| karush kuhn tucker | KKT | 39 | 12 | 2.000591 | 2002.00331,2002.00944,etc |
| theorem | Theorem | 359 | 12 | 2.001768 | 2002.00355,2002.00564,etc |
| deutsche forschungsgemeinschaft | DFG | 15 | 11 | 1.000094 | 2002.00663,2002.01303,etc |
| radio frequency | RF | 175 | 11 | 2.00567 | 2002.01629,2002.02301,etc |
| finite element method | FEM | 59 | 11 | 2.000894 | 2002.02680,2002.03001,etc |
| intelligent reflecting surface | IRS | 622 | 10 | 2.007544 | 2002.00168,2002.00331,etc |
| age of information | AoI | 324 | 10 | 2.006287 | 2002.01255,2002.01916,etc |
| european research council | ERC | 18 | 10 | 1.000241 | 2002.01448,2002.01709,etc |
| stochastic gradient descent | SGD | 76 | 9 | 2.001963 | 2002.00008,2002.01387,etc |
| spectral efficiency | SE | 125 | 9 | 2.002317 | 2002.00331,2002.01226,etc |
| time division duplex | TDD | 79 | 9 | 1.003052 | 2002.01226,2002.01504,etc |
| cumulative distribution function | CDF | 32 | 9 | 1.000304 | 2002.01226,2002.01504,etc |
| lemma | Lemma | 269 | 9 | 2.002119 | 2002.01630,2002.02327,etc |
| mean square error | MSE | 99 | 8 | 1.001866 | 2002.00008,2002.01270,etc |
| total variation | TV | 124 | 8 | 2.002083 | 2002.00155,2002.01013,etc |
| fifth generation | 5G | 121 | 8 | 1.002265 | 2002.00331,2002.02595,etc |
| maximum likelihood | ML | 76 | 8 | 1.002782 | 2002.00532,2002.02003,etc |
| orthogonal frequency division multiplexing | OFDM | 74 | 8 | 2.001036 | 2002.01765,2002.03491,etc |
| simultaneous wireless information and power transfer | SWIPT | 74 | 8 | 2.001535 | 2002.01765,2002.03142,etc |
| reinforcement learning | RL | 105 | 7 | 2.002392 | 2002.00260,2002.02075,etc |
| quality of service | QoS | 17 | 7 | 1.00043 | 2002.00331,2002.02301,etc |
| ordinary differential equation | ODE | 61 | 7 | 1.001575 | 2002.00354,2002.01313,etc |
| semidefinite programming | SDP | 68 | 7 | 1.001765 | 2002.00406,2002.01444,etc |
| conjugate gradient | CG | 69 | 7 | 1.00152 | 2002.00676,2002.00917,etc |
| central limit theorem | CLT | 40 | 7 | 1.000899 | 2002.01012,2002.01013,etc |
| millimeter wave | mmWave | 103 | 7 | 2.001355 | 2002.01629,2002.03491,etc |
| probability density function | PDF | 35 | 7 | 1.000392 | 2002.01686,2002.03106,etc |
| long term evolution | LTE | 18 | 6 | 1.000131 | 2002.00331,2002.03491,etc |
| efficiency | EE | 181 | 6 | 2.004371 | 2002.00331,2002.04104,etc |
| successive convex approximation | SCA | 21 | 6 | 1.001 | 2002.01226,2002.01765,etc |
| energy harvesting | EH | 210 | 6 | 2.001692 | 2002.01686,2002.02301,etc |
| unmanned aerial vehicle | UAV | 223 | 6 | 1.009022 | 2002.01765,2002.04054,etc |
| zero forcing | ZF | 54 | 6 | 2.001654 | 2002.03142,2002.04171,etc |
| orthogonal frequency division multiple access | OFDMA | 65 | 6 | 2.003303 | 2002.03265,2002.03491,etc |
| alternating direction method of multipliers | ADMM | 63 | 6 | 1.004501 | 2002.03491,2002.03516,etc |
| expectation maximization | EM | 19 | 5 | 1.000683 | 2002.00008,2002.03044,etc |
| discontinuous galerkin | dG | 138 | 5 | 2.003767 | 2002.00114,2002.01401,etc |
| least square | LS | 12 | 5 | 1.000094 | 2002.00425,2002.01083,etc |
| stochastic differential equation | SDE | 70 | 5 | 1.002525 | 2002.00480,2002.05465,etc |
| cloud radio access network | C-RAN | 52 | 5 | 2.001369 | 2002.00532,2002.02617,etc |
| principal component analysis | PCA | 37 | 5 | 2.00169 | 2002.01290,2002.01387,etc |
| access point | AP | 225 | 5 | 2.006138 | 2002.01504,2002.02595,etc |
| downlink | DL | 116 | 5 | 2.003337 | 2002.01686,2002.03714,etc |
| support vector machine | SVM | 46 | 5 | 2.001806 | 2002.01692,2002.02706,etc |
| successive interference cancellation | SIC | 42 | 5 | 2.000934 | 2002.01731,2002.01765,etc |
| non orthogonal multiple access | NOMA | 111 | 5 | 1.003851 | 2002.01765,2002.03491,etc |
| deep learning | DL | 21 | 5 | 2.000995 | 2002.02075,2002.02315,etc |
| bit error rate | BER | 40 | 5 | 2.001126 | 2002.02075,2002.04808,etc |
| approximate message passing | AMP | 95 | 5 | 2.001974 | 2002.02595,2002.02617,etc |
| multiple access channel | MAC | 26 | 5 | 1.000837 | 2002.03044,2002.03491,etc |
| central processor | CP | 84 | 4 | 2.002279 | 2002.00008,2002.04166,etc |
| computational fluid dynamics | CFD | 20 | 4 | 2.000563 | 2002.00074,2002.01098,etc |
| multiple input single output | MISO | 10 | 4 | 1.000133 | 2002.00331,2002.01765,etc |
| gaussian free field | GFF | 24 | 4 | 1.000409 | 2002.00347,2002.05698,etc |
| half duplex | HD | 38 | 4 | 2.002178 | 2002.00532,2002.01255,etc |
| machine learning | ML | 10 | 4 | 1.000263 | 2002.01012,2002.04069,etc |
| fast fourier transform | FFT | 21 | 4 | 1.000844 | 2002.01108,2002.01401,etc |
| user equipment | UE | 133 | 4 | 2.007622 | 2002.01255,2002.05852,etc |
| deep neural network | DNN | 67 | 4 | 2.007448 | 2002.01255,2002.04122,etc |
| national science foundation | NSF | 8 | 4 | 1.000195 | 2002.01330,2002.01357,etc |
| finite element | FE | 23 | 4 | 2.000297 | 2002.01416,2002.04272,etc |
| markov chain monte carlo | MCMC | 27 | 4 | 2.000273 | 2002.01526,2002.02584,etc |
| cyclic prefix | CP | 121 | 4 | 1.013007 | 2002.01629,2002.06529,etc |
| uplink | UL | 84 | 4 | 2.002721 | 2002.01686,2002.03714,etc |
| poisson point process | PPP | 33 | 4 | 2.001843 | 2002.01686,2002.02595,etc |
| difference of convex | DC | 16 | 4 | 1.000898 | 2002.01765,2002.02595,etc |
| belief propagation | BP | 56 | 4 | 1.002663 | 2002.02315,2002.03317,etc |
| linear matrix inequality | LMI | 20 | 4 | 1.000559 | 2002.02361,2002.04166,etc |
| linear quadratic regulator | LQR | 62 | 4 | 2.000671 | 2002.02574,2002.04090,etc |
| massive machine type communication | mMTC | 14 | 4 | 1.000567 | 2002.02595,2002.03044,etc |
| compressed sensing | CS | 261 | 4 | 2.008866 | 2002.02595,2002.03044,etc |
| minimum mean squared error | MMSE | 20 | 4 | 2.000291 | 2002.02628,2002.03106,etc |
| mean squared error | MSE | 36 | 4 | 1.001226 | 2002.02657,2002.06825,etc |
| ultra reliable and low latency communication | URLLC | 129 | 4 | 2.002744 | 2002.03265,2002.04897,etc |
| low density parity check | LDPC | 90 | 4 | 2.00569 | 2002.03491,2002.05633,etc |
| maximum ratio combining | MRC | 6 | 4 | 1.000087 | 2002.04118,2002.06945,etc |
| three dimensional | 3D | 16 | 4 | 1.000491 | 2002.04897,2002.04957,etc |
| algorithm | Algorithm | 69 | 4 | 2.003244 | 2002.07602,2002.07753,etc |
| navier stokes equations | NSE | 31 | 3 | 2.001181 | 2002.00074,2002.01416,etc |
| maximum ratio transmission | MRT | 24 | 3 | 1.00102 | 2002.00168,2002.01504,etc |
| non line of sight | NLoS | 5 | 3 | 1.00027 | 2002.00168,2002.01226,etc |
| stochastic approximation | SA | 89 | 3 | 2.003096 | 2002.00260,2002.02584,etc |
| markov decision process | MDP | 15 | 3 | 1.000498 | 2002.00260,2002.01255,etc |
| geometric programming | GP | 101 | 3 | 2.003941 | 2002.00270,2002.01083,etc |
| conformal field theory | CFT | 26 | 3 | 2.001029 | 2002.00342,2002.01780,etc |
| korteweg de vries | KdV | 60 | 3 | 2.001074 | 2002.00399,2002.01780,etc |
| remote radio head | RRH | 97 | 3 | 2.005559 | 2002.00532,2002.02617,etc |
| alternating optimization | AO | 21 | 3 | 1.003245 | 2002.00990,2002.03106,etc |
| fluid structure interaction | FSI | 82 | 3 | 2.002811 | 2002.01098,2002.04636,etc |
| kullback leibler | KL | 6 | 3 | 1.000289 | 2002.01189,2002.07345,etc |
|